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Estimating multi-class dynamic origin-destination demand through a
  forward-backward algorithm on computational graphs

Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs

12 March 2019
Wei-Ying Ma
Xidong Pi
Sean Qian
ArXiv (abs)PDFHTML

Papers citing "Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs"

4 / 4 papers shown
Title
Estimating multi-year 24/7 origin-destination demand using high-granular
  multi-source traffic data
Estimating multi-year 24/7 origin-destination demand using high-granular multi-source traffic data
Wei-Ying Ma
Zhen
Z. Qian
33
57
0
26 Jan 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
824
9,318
0
06 Jun 2015
In Search of the Real Inductive Bias: On the Role of Implicit
  Regularization in Deep Learning
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
AI4CE
94
658
0
20 Dec 2014
Slow Learners are Fast
Slow Learners are Fast
John Langford
Alex Smola
Martin A. Zinkevich
111
391
0
03 Nov 2009
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